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https://github.com/harshuljain13/hackerearth-iot
A web application to connect patients with doctors and implement the set of Codes and Algos from scratch related to health domain.
https://github.com/harshuljain13/hackerearth-iot
Last synced: 5 days ago
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A web application to connect patients with doctors and implement the set of Codes and Algos from scratch related to health domain.
- Host: GitHub
- URL: https://github.com/harshuljain13/hackerearth-iot
- Owner: harshuljain13
- Created: 2016-01-16T11:11:30.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2022-12-26T20:00:12.000Z (about 2 years ago)
- Last Synced: 2024-11-08T01:46:47.256Z (about 2 months ago)
- Language: JavaScript
- Homepage: http://dry-brushlands-94162.herokuapp.com/
- Size: 14.1 MB
- Stars: 1
- Watchers: 2
- Forks: 1
- Open Issues: 7
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Hackerearth-IOT-hackathon
##Project Title: HALC- Health and Lifestyle companion
why This project?
This journey started around a year back when my father experienced a minor heart attack due to artery blockag. He is a fit
guy who wears the fitbit in order to take care of his health. But when he experienced the heart attack, we were unable to
recognise it and got to know 3 days after the visiting the doctor. This all happened because we relied on a device that is
a lifestyle device and not a clinical device. Hence, facing that critical time, i realised to build something that is more
fruitful than fitbit.
## Tech Stack
```
1. Hardware
2. Python
3. Machine learning
4. Numpy
5. matplotlib
6. Thinkdsp
7. Django
8. Django rest framework
```
### A. Hardware preparation
### B. Python based Algorithms and Machine learning that supported the hardware:
```
1. get heart rate from the raw ppg signal using DSP in python- done [99% accurate]
2. get respiration rate from the raw ppg signal using DSP in python- done [98% accurate, fitbit does not give respiration rate]
3. get SPO2 from the raw ppg signal using DSP in python - done [95% accurate]
4. predictive BP calculation based on Random forest supervised classification in python - done [80% correct, need more training data]
5. Haemoglobin calculation suing formulas- not completed, but near
6. all ML part stays in real-everybit-new folder in github repository
```
### C. [Quick view of web app hosted on Heroku](https://dry-brushlands-94162.herokuapp.com)
```
https://dry-brushlands-94162.herokuapp.com
userid: hjain20
password: 12345
```
### D. How to Deploy server locally
```
git clone https://github.com/harshul1610/Hackerearth-IOT.git
cd Hackerearth-IOT
pip install -r requirements.txt
pip install -r requirements2.txt
./manage.py runserver 0.0.0.0:8000
```
### E. Video Link
[video1](https://www.youtube.com/watch?v=wczPOhFFhu8)